Extended Data Fig. 3: The model validation.
From: Adaptive capacity for multimodal transport network resilience to extreme floods
a-b We extracted and processed Nanjing’s empirical mobility datasets on a typical normal workday (July 18, 2024) and a stormy workday (July 11, 2024) from Amap, an online navigation provider. Panel (a) shows the comparison of cumulative density function (CDF) for travel time between the normal workday and the simulated baseline scenario. Same to panel (a), panel (b) depicts the comparison between the rainy workday (July 11, 2024) and simulated flooding scenario (T=6m). c-d We also compare the travel radius distribution for LA between simulation data and empirical human mobility data derived from SafeGraph, a ___location data service provider. Panel (c) compares the CDF of travel radius between the baseline model and a normal workday (Wednesday, February 27, 2019), while panel (d) compares the CDF of travel radius between the flooding model (T=0) and a stormy workday (Wednesday, March 6, 2019). In all panels, we present the Kolmogorov-Smirnov (KS) test results (*** indicates that the p-value is less than 0.001).
